Multi Agent RAG Platform Implementation on AWS
Dedicatted · Intelligence & Research
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
#### Service Overview
Traditional single‑LLM chatbots often hallucinate or time‑out when facing complex, multi‑step requests. Recent guides from AWS & LangChain highlight how chaining agents with RAG eliminates those gaps by letting one agent plan, others retrieve or call APIs, and a final agent synthesize an answer.
Show the rest of the publisher’s description (8 more lines)
Our engagement delivers that architecture end‑to‑end:
- **Bedrock Agent Orchestration** – We stand up Amazon Bedrock Agents that invoke domain‑tuned Anthropic Claude or Llama 3 models plus tool‑use actions for vector search, SQL, or third‑party APIs
- **Knowledge‑Base & Vector Store** – Configure Amazon Kendra or OpenSearch Vector with chunking, embeddings, and freshness policies—inspired by Logic20/20’s Marketplace RAG pattern
- **Multi‑Agent Workflow Layer** – Implement CrewAI‑style agent crews with ReAct reasoning so specialists (e.g., “Researcher”, “Critic”, “Formatter”) collaborate on each query
- **Observability & Guardrails** – Add Bedrock Guardrails plus CloudWatch dashboards to track vector hits, tool calls, latency, and toxicity filters
- Pilot Use‑Case Delivery – Typical PoC integrates two data domains (e.g., PDFs in S3 and Confluence pages) and exposes a chat UI or API, mirroring the quick‑win strategy used by Marketplace RAG chatbots
Most clients reach production in 4–6 weeks, similar to timelines discussed in Hugging Face’s multi‑agent cookbook.
Read more: [Here](https://dedicatted.com/services/artificial-intelligence/agentic)
Highlights
Highlighted by the publisher on AWS Marketplace.
Autonomous Agent Collaboration – Agents plan, retrieve, verify, and execute tasks
Ground‑truth Answers, Cited – RAG injects live snippets; every response includes source links to mitigate hallucinations
Secure, Tenant‑Isolated Deployment – Data stays inside your AWS account with IAM, KMS, VPC endpoints, and optional private‑link to vector DBs, matching AWS security best practices
Agent build and provenance
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Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Vendor
External enrichment · as of 2026-08-29
Sources
Publisher resources
1 linkLinked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.

